Evidence map›Paper›PMID 33143207›Full record

ArticleAntibiotics (Basel, Switzerland)2020

Antibiotic Use and Antibiotic Resistance: Public Awareness Survey in the Republic of Cyprus.

Mikaela Michaelidou, Spyridon A Karageorgos, Constantinos Tsioutis

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
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  9. National outpatient antibiotic prescriptions in Cyprus, 2020-2022.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
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  11. Observational
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  14. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mikaela MichaelidouSchool of Medicine, European University Cyprus, 2404 Nicosia, Cyprus.
Spyridon A KarageorgosSchool of Medicine, European University Cyprus, 2404 Nicosia, Cyprus.
Constantinos TsioutisSchool of Medicine, European University Cyprus, 2404 Nicosia, Cyprus.ORCID 0000-0002-7865-8529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to assess the knowledge and understanding of antibiotic use and resistance in the general population of Cyprus, in order to inform future antibiotic awareness campaigns with local evidence. Cross-sectional survey following the methodology of the "Antibiotic resistance: Multi-country public awareness survey" of the World Health Organization, during December 2019-January 2020. A total of 614 respondents participated: 64.3% were female and most were aged 35-44 years (33.2%) or 25-34 years (31.8%). One-third had used antibiotics >1 year ago and 91.6% reported receiving advice on appropriate use from a medical professional. Despite high awareness on correct use of antibiotics, lack of knowledge was noted for specific indications, where approximately one-third believed that viral infections respond to antibiotics and 70.7% lack understanding of how antibiotic resistance develops. Higher education graduates exhibited significantly higher knowledge rates. As high as 72.3% were informed about "antibiotic resistant bacteria" from healthcare professionals or social media. Most agreed on the usefulness of most suggested actions to address antibiotic resistance, with higher proportions acknowledging the role of prescribers. Up to 47% could not identify their role in decreasing antibiotic resistance. Our study provides local evidence to inform future efforts in a country characterized by high antibiotic consumption rates.

Indexed as

antibiotic resistanceantibiotic-resistant bacteriaantibiotic useawarenesscampaignsinappropriateinterventions

Identifiers

PMID33143207
PMCPMC7692346

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.